Superpixels Based Segmentation and SVM Based Classification Method to Distinguish Five Diseases from Normal Regions in Wireless Capsule Endoscopy

@article{Maghsoudi2017SuperpixelsBS,
  title={Superpixels Based Segmentation and SVM Based Classification Method to Distinguish Five Diseases from Normal Regions in Wireless Capsule Endoscopy},
  author={Omid Haji Maghsoudi},
  journal={ArXiv},
  year={2017},
  volume={abs/1711.06616}
}
Wireless Capsule Endoscopy (WCE) is relatively a new technology to examine the entire GI trace. During an examination, it captures more than 55,000 frames. Reviewing all these images is time-consuming and prone to human error. It has been a challenge to develop intelligent methods assisting physicians to review the frames. The WCE frames are captured in 8-bit color depths which provides enough a color range to detect abnormalities. Here, superpixel based methods are proposed to segment five… CONTINUE READING
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Key Quantitative Results

  • The results indicated an accuracy of 93%, a precision of 91%, and a specificity of 91%.
  • Our method showed a more accurate detection by having the accuracy and sensitivity of 91% and 90% which were significantly better than the previous methods.

References

Publications referenced by this paper.
SHOWING 1-10 OF 32 REFERENCES

A computer aided method to detect bleeding, tumor, and disease regions in Wireless Capsule Endoscopy

  • 2016 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)
  • 2016
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

Assessment of Crohn’s Disease Lesions in Wireless Capsule Endoscopy Images

  • IEEE Transactions on Biomedical Engineering
  • 2012
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

Computer-Aided Detection of Bleeding Regions for Capsule Endoscopy Images

  • IEEE Transactions on Biomedical Engineering
  • 2009
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

A Rodent Paw Tracker Using Support Vector Machine

  • 2016 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)
  • 2016
VIEW 1 EXCERPT

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